This artifact allows you to reproduce the main results of the paper “Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD” as presented in Euro-Par 2025. Specifically, it will generate plots corresponding to figures 4 & 5 in the paper, which compare the accuracy and training time of our method to the main two baselines – fully asynchronous with and without adaptive parallelism. Please refer to the paper for more details about our algorithm and the baselines. To use this artifact, please refer to artifact_documentation.pdf, which resides within the ZIP archive. Building and running the code is achieved by executing a single script. The following software is all you need to ensure manually. The included script will install a few necessary Python dependencies automatically, contained within a virtual environment.• Linux. We used Linux 6.13.1, but there’s no reason that any recent version wouldn’t work.• C++ compiler toolchain with support for C++20. We used GNU g++ 14.2.1.• CMake. The specific version shouldn’t matter as long as it’s recent, but we used CMake 3.31.7.• Python 3 (for rendering plots). We used Python 3.13.2.